• DocumentCode
    2804469
  • Title

    Diffusion leakage model study on chemical materials taking Liquid Ammonia as an example

  • Author

    Fan, Yijun ; Song, Guobao ; Li, Jiaojiao ; Zhang, Shushen

  • Author_Institution
    Key Lab. of Ind. Ecology & Environ. Eng. (MOE), Dalian Univ. of Technol., Dalian, China
  • fYear
    2011
  • fDate
    15-17 July 2011
  • Firstpage
    3052
  • Lastpage
    3055
  • Abstract
    It is important to select the correct diffusion model to predict the leakage concentrate of hazardous materials according to their molecular weight properties. Generally speaking, the Gauss diffusion model is usually used for predict light gas diffusion and SLAB model for weight gas. However diffusion model selection is also determined by storage condition, which can greatly change the physical condition and influence predictive model selection. In paper, we took liquid ammonia as an example. Ammonia is gaseous in normal temperature and pressure, and usually be converted into liquid by high pressure storage condition in practice. The gauss model and LSAB model were used in this paper to compare the difference of diffusion process. The result is as follows. For one thing, the spatial dimension predicted by Gauss model was greatly less than that of SLAB model accompanied by much wide spatial range in horizon direction to the predominant wind direction. For another, referencing to AEGL-1 standard, the longest diffusion distance in 4650s by SLAB model is about 6132 meters and the result predicted by Gauss model is about 2880 meters. The difference of influence spatial scope and diffusion distance predicted by two models is 44.7% and 77.2%. So it should be cautious when selecting diffusion model to predict the hazardous material leakage.
  • Keywords
    Gaussian processes; ammonia; diffusion; environmental factors; hazardous materials; storage; Gauss diffusion model; SLAB model; chemical material; diffusion leakage model; hazardous material; leakage concentrate; light gas diffusion; liquid ammonia; molecular weight; predictive model selection; spatial dimension; storage condition; Biological system modeling; Chemicals; Dispersion; Hazardous materials; Predictive models; Slabs; Dagushan Peninsula; GIS; Gaussian model; SLAB; ammonia leakage; hazardous chemicals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2011 Second International Conference on
  • Conference_Location
    Hohhot
  • Print_ISBN
    978-1-4244-9436-1
  • Type

    conf

  • DOI
    10.1109/MACE.2011.5987633
  • Filename
    5987633